Growth prediction model for Eucalyptus hybrid in India

Singh A., . and Dhakad A. K., . Growth prediction model for Eucalyptus hybrid in India. pp. 576-587. ISSN 0128-1283

The present study aimed to develop allometric equations and time series analysis for prediction of height and diameter at breast height (DBH) growth with age and density for clonal Eucalyptus hybrid in India. We measured height and DBH of Eucalyptus hybrid of genotype 3020 planted at three spacings up to 7 years and analysed stand stability of the tree against wind. Stand stability index increased as inter-tree spacing and age increased and was constant after the age of 5 years. The regression equation developed was highly significant and the adjusted coefficient of determination for the model was very high. The equation accounted for 95 variation in height and diameter calculated by the developed models with same age and spacing. Logistic growth curve model for time series analysis explained variation up to 93.8 in height and 93.3 in diameter. Eucalyptus plantation raised by macropropagation technique obtained stand stability after the age of 5 years. The regression models in its exponential form can be used effectively to predict the height diameter and age at varied spacings. The developed growth models will help forest managers in the preparation of largescale plantation logging inventories.

Full text available from: Official URL: https://www.frim.gov.my/v1/jtfsonline/jtfs/v30n4/5...

Abstract

The present study aimed to develop allometric equations and time series analysis for prediction of height and diameter at breast height (DBH) growth with age and density for clonal Eucalyptus hybrid in India. We measured height and DBH of Eucalyptus hybrid of genotype 3020 planted at three spacings up to 7 years and analysed stand stability of the tree against wind. Stand stability index increased as inter-tree spacing and age increased and was constant after the age of 5 years. The regression equation developed was highly significant and the adjusted coefficient of determination for the model was very high. The equation accounted for 95 variation in height and diameter calculated by the developed models with same age and spacing. Logistic growth curve model for time series analysis explained variation up to 93.8 in height and 93.3 in diameter. Eucalyptus plantation raised by macropropagation technique obtained stand stability after the age of 5 years. The regression models in its exponential form can be used effectively to predict the height diameter and age at varied spacings. The developed growth models will help forest managers in the preparation of largescale plantation logging inventories.

[error in script]

Item Type:	Article
AGROVOC Term:	Eucalyptus
AGROVOC Term:	Hybrids
AGROVOC Term:	Clonal variation
AGROVOC Term:	Plantations
AGROVOC Term:	Genotypes
AGROVOC Term:	Regression analysis
AGROVOC Term:	Tree and stand measurement
AGROVOC Term:	Spacing
AGROVOC Term:	Prediction
AGROVOC Term:	Age
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:29
URI:	http://webagris.upm.edu.my/id/eprint/24764

Actions (login required)

View Item